SPEQ: Quality Assessment of Peptide Tandem Mass Spectra with Deep Learning.

ABSTRACT: In proteomics, database search programs are routinely used for peptide identification from tandem mass spectrometry data. However, many low-quality spectra cannot be interpreted by any programs. Meanwhile, certain high-quality spectra may not be identified due to incompleteness of the database or failure of the software. Thus, spectrum quality assessment tools are helpful programs that can eliminate poor-quality spectra before the database search and highlight the high-quality spectra that are not identified in the initial search. These spectra may be valuable candidates for further analyses. We propose SPEQ: a spectrum quality assessment tool that uses a deep neural network to classify spectra into high-quality, which are worthy candidates for interpretation, and low-quality, which lack s

SUBMITTER: Gholamizoj S 

PROVIDER: S-EPMC8896601 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature